A fast reimplementation of several densitybased algorithms of the DBSCAN family for spatial data. Includes the DBSCAN (densitybased spatial clustering of applications with noise) and OPTICS (ordering points to identify the clustering structure) clustering algorithms HDBSCAN (hierarchical DBSCAN) and the LOF (local outlier factor) algorithm. The implementations use the kdtree data structure (from library ANN) for faster knearest neighbor search. An R interface to fast kNN and fixedradius NN search is also provided.
Package details 


Maintainer  
License  GPL (>= 2) 
Version  1.12 
Package repository  View on GitHub 
Installation 
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